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Record W4253407308 · doi:10.3148/72.3.2011.e169

Abstracts from Dietetic Research Event – June 16-17, 2011

2011· article· en· W4253407308 on OpenAlexaffvenueabout
John Brady, Jacqui Gingras, Ray Fitzpatrick, Kate Storey, Laura Forbes, Justine Turner, Anna Farmer, Michelle Mackenzie, Vera C. Mazurak, Heidi Bates, Lyn Zuberbuhler, Diana R. Mager, Daphne Lordly, Dawn L. MacLellan, Meghan Poultney, J Okafo, Emily Vettese, A Cuddy, Nicole Martin, Teresita de Jesús Saucedo-Molina, Serge Pérez, Javier Villanueva Sánchez, Luis A. Fernandez

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2011
Typearticle
Languageen
FieldHealth Professions
TopicDietetics, Nutrition, and Education
Canadian institutionsRegina Qu'Appelle Health RegionUniversity of AlbertaUniversity of ManitobaUniversity of Prince Edward IslandInstitute for Christian StudiesMount Saint Vincent UniversityCovenant HealthToronto Metropolitan UniversityAlberta Health ServicesQueen's University
Fundersnot available
KeywordsBATESMedical educationEvent (particle physics)MedicineWork (physics)Library scienceFamily medicineEngineering

Abstract

fetched live from OpenAlex

I wish to welcome everyone to Edmonton and the 2011 Dietitians of Canada Annual Conference Research Event. This year we have over 600 participants attending the conference with over 80 research posters and oral presentations that span topics from clinical nutrition to food policy to research methodology to community nutrition and dietetic practice and education. This year the breadth of research was very strong indicating the strong role that dietitians play in conducting evidenced based nutrition research that supports dietetic practice in all areas of professional practice. I wish to congratulate each and every presenter for sharing their research and for all their hard work. This year we will continue with the Poster Tours. These tours allow each presenter to discuss the highlights of his/her research under the guidance of one of the abstract review committee members and/or graduate students. These sessions are very interactive and also provide those attending the tours the opportunity to network with other dietetic researchers in Canada. We hope that you will enjoy these tours once again. On behalf of the membership of Dietitians of Canada, I would like to thank the Abstracts Review Committee members who took the time from their busy schedules to provide their expertise to review these abstracts. Our abstract committee represented a broad spectrum of dietetic expertise from professional practice sectors across Canada. I wish to thank them for their hard work. Thanks go to: Dr(s) Kate Storey, Laura Forbes, Justine Turner, Anna Farmer, Michelle MacKenzie, Vera Mazurak and Heidi Bates from the University of Alberta, Lyn Zuberbuhler and Tanis Fenton from Alberta Health Services, Alice Lee from Covenant Health, Roula Tzianetas from Mount Sinai Hospital, Roseann Nasser from Regina Qu'Appelle Health Region, Dr Christine Lengyel from the University of Manitoba and Dr. Frances Rioux from the University of Ottawa. I would also like to acknowledge the Canadian Foundation for Dietetic Research and Dietitians of Canada for their ongoing support of practice based research in Canada and for their vision of supporting dietetic training and research in this important area of practice. Please join me in celebrating Canadian Dietetic Research by attending the poster presentations on Thursday and Friday (June 16 and 17) and the oral presentations on Friday, June 17 in the afternoon.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.521
Threshold uncertainty score0.743

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.000
Scholarly communication0.0060.002
Open science0.0020.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.4790.251

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.350
GPT teacher head0.515
Teacher spread0.166 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2011
Admission routes3
Has abstractyes

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